Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
#9 best model for Semantic Segmentation on Cityscapes val
In this paper, to relieve the overfitting effect of ResNet and its improvements (i. e., Wide ResNet, PyramidNet, and ResNeXt), we propose a new regularization method called ShakeDrop regularization.
We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution followed by a pointwise convolution).
#68 best model for Image Classification on ImageNet
We propose a novel approach for instance-level image retrieval.
#3 best model for Image Retrieval on Oxf5k
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications.
#9 best model for Conditional Image Generation on CIFAR-10
We present MorphNet, an approach to automate the design of neural network structures.
The approach combines, in a black-box fashion, multiple models trained with disjoint datasets, such as records from different subsets of users.